In one paragraphArticle in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
35 authors.
Riya NarainNVIDIA, Santa Clara, CA, USA.
Razan AbbaraPDBe, European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.ORCID 0000-0003-4300-1276 Marcelo Querino Lima AfonsoPDBe, European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.ORCID 0000-0002-9966-8187 Jeannie AustinPDBe, European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.ORCID 0009-0000-0093-7758 Damian BertoniPDBe, European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.ORCID 0000-0001-8207-2486 Joseph EllawayPDBe, European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.ORCID 0000-0002-6670-5391 Davide FransosNVIDIA, Santa Clara, CA, USA.
Kyle GionNVIDIA, Santa Clara, CA, USA.
Chantal HuloCoalition for Epidemic Preparedness Innovations, Oslo, Norway, London, UK, and Washington, DC, USA.
Rachel Seongeun KimSchool of Biological Sciences, Seoul National University, Seoul, Republic of Korea.
Jack MasonGoogle DeepMind, London, UK.
Sreenath NairPDBe, European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.ORCID 0000-0002-6861-7627 Urmila ParamvalPDBe, European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.ORCID 0009-0001-9221-4596 Ivanna PidruchnaPDBe, European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.ORCID 0009-0001-9820-5287 Maxim TsenkovPDBe, European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.ORCID 0000-0002-4870-239X Melanie VollmarPDBe, European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.ORCID 0000-0002-9162-9159 Newton WahomeCoalition for Epidemic Preparedness Innovations, Oslo, Norway, London, UK, and Washington, DC, USA.ORCID 0000-0001-6996-6370 Jennifer FlemingPDBe, European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.ORCID 0000-0003-4016-8740 Sameer VelankarPDBe, European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.ORCID 0000-0002-8439-5964 Milot MirditaDepartment of Precision Medicine, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea.ORCID 0000-0001-8637-6719 Philippe Le MercierSwiss-Prot group, SIB Swiss Institute of Bioinformatics, Faculty of Medicine, Geneva, Switzerland.
Martin SteineggerSchool of Biological Sciences, Seoul National University, Seoul, Republic of Korea.ORCID 0000-0001-8781-9753 Funding
Pathogen Data NetworkU24AI183840 · NIAID · SWISS INSTITUTE OF BIOINFORMATICS · PI Christophe Dessimoz, Sam Fo Halabi · 2024 to 2026
$9.1MNIAID NIH HHS U24 AI183840
6 · The paper itselfAbstract
Mechanistic understanding of viral protein-protein interactions enables global health security and pandemic preparedness, yet experimental characterisation remains difficult, costly, and often restricted to specialised laboratories. Here, we describe an
Identifiers
PMID42856266
PMCPMC13648588
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